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Find a path to becoming a Statistical Graphics. Learn more at:
OpenCourser.com/topic/2fng4m/statistical
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Statistical Graphics.
Beautifully designed and engaging introduction to the principles of data visualization. The author leading authority on the subject, and his book is full of insights and practical advice. The book must-read for anyone who wants to learn more about data visualization.
Collection of essays on the principles of statistical graphics. Tufte leading authority on the subject, and his book is full of insights and practical advice. The book is beautifully designed and it pleasure to read.
Practical guide to using ggplot2, a popular R package for creating statistical graphics. The book provides clear and concise instructions on how to use ggplot2 to create a wide variety of visualizations, including bar charts, line charts, and scatterplots. The book is well-written and accessible, and it valuable resource for anyone who wants to learn more about ggplot2.
Comprehensive overview of the principles and methods of statistical graphics. The book covers a wide range of topics, including data visualization, exploratory data analysis, and graphical modeling. The author leading authority on the subject, and his book is full of insights and practical advice.
Practical guide to data visualization. The book covers a wide range of topics, including data visualization, exploratory data analysis, and graphical modeling. The authors are all experts in the field, and their book is full of insights and practical advice.
Practical guide to using R to create statistical graphics. The book covers a wide range of topics, including data visualization, exploratory data analysis, and graphical modeling. The authors have extensive experience in the field and have written a book that is both thorough and accessible.
Practical guide to using R to create statistical graphics. The book covers a wide range of topics, including data visualization, exploratory data analysis, and graphical modeling. The author leading authority on the subject, and his book is full of insights and practical advice.
Practical guide to using Python to create statistical graphics. The book covers a wide range of topics, including data visualization, exploratory data analysis, and graphical modeling. The author leading authority on the subject, and his book is full of insights and practical advice.
Practical guide to using D3.js to create interactive data visualizations for the web. The book covers a wide range of topics, including data visualization, exploratory data analysis, and graphical modeling. The author leading authority on the subject, and his book is full of insights and practical advice.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/2fng4m/statistical
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